Nanophotonics Journal Cover Design Service (OIS)

Nanophotonics

2 July 2024

Opto-intelligence spectrometer using diffractive neural networks

Ze Wang¹, Hang Chen², Jianan Li^1,3, Tingfa Xu^1,3,4, Zejia Zhao², Zhengyang Duan², Sheng Gao² and Xing Lin²

10.1515/nanoph-2024-0233

This paper presents a novel flexible all-optical opto-intelligence spectrometer, termed OIS, using a diffractive neural network for high-precision spectral reconstruction, featuring low energy consumption and light-speed processing. Simulation experiments indicate that the OIS is able to achieve high-precision spectral reconstruction under spatially coherent and incoherent light sources without relying on any complex electronic algorithms, and integration with a simplified electrical calibration module can further improve the performance of OIS. To demonstrate the robustness of OIS, spectral reconstruction was also successfully conducted on real-world datasets. Our work provides a valuable reference for using diffractive neural networks in spectral interaction and perception, contributing to ongoing developments in photonic computing and machine learning.